TreeCard
Product Analyst
Hybrid
Full Time
#Product
#Data Analytics
#Tech
#SQL
#Metabase
#Google Analytics
#app store
#Dashboard Development
#Data
#A B Testing
#LTV
TreeCard is looking for a Product Analyst
Full TimeMid-LevelHybridUnited KingdomProductData AnalyticsTechSQLMetabaseGoogle Analyticsapp storeDashboard DevelopmentDataA B TestingLTVEnglishHybrid work
ABOUT TREECARD 🌳
Make a Real Impact 🌍
Here at Treecard, We’re harnessing the power of the people to help solve climate change by building a platform to make sustainable living more accessible. We’re the kind of green that doesn’t wash off, and our customers have already planted over 5 MILLION trees just by being part of the Treecard community.
We’re striving to build the largest and most engaged eco-focused community and a worldwide organisation people can trust. We need people who can’t wait to jump in and help scale our impact together.
Do the best work of your life 🚀
As a mission-driven startup, Treecard not only offers an environment for huge personal growth but an opportunity to leave a legacy we can be proud of.
We’re powered by Ecosia, the search engine that has planted over 130M trees to date and has over 30M monthly active customers. We've also raised $26M (Series A) to date and have a growing user base, with 40% of all sign-ups being referred by a friend or family. We are backed by EQT, Worldfund, and Seedcamp— the original investors of Transferwise and Revolut.
We’re set up for success, racing forward, and swinging beyond the fences. We are here to do the best work of our lives, and together, we hope you are too. Come help make sustainable living accessible for everyone.
Role Overview:
We are seeking a proactive and technically skilled Product Data Analyst who can take full ownership of our data analytics process, focusing on building, iterating, and maintaining accurate and efficient dashboards. The ideal candidate will quickly develop dashboards, ensure their accuracy, independently investigate data issues, and show a strong sense of ownership in resolving any discrepancies. Additionally, they will conduct thorough analyses, translate test results into insights, and provide actionable recommendations to drive product improvements.
Key Responsibilities:
1. Dashboard Development and Iteration:
- Quickly build and iterate on dashboards using Metabase, integrating data from Redshift, Google Analytics, and the App Store.
- Continuously refine dashboards based on stakeholder feedback and business needs to ensure they remain useful and relevant.
2. Data Accuracy and Validation:
- Independently verify the accuracy of data before sharing dashboards with stakeholders, ensuring the information is correct and reliable.
- Implement processes to regularly audit dashboards for consistency and accuracy.
3. Experimental Analysis and Insight Generation:
- Analyse and translate results from A/B testing, LTV calculations, churn analysis, and other experiments into actionable insights.
- Conduct in-depth analyses of customer behaviour and performance metrics to generate recommendations that align with business needs.
4. Product Optimisation and Impact Measurement:
- Work on product optimisation initiatives, using insights and data analysis to improve product performance and company KPIs.
- Collaborate closely with product and engineering teams to validate and support product changes using accurate data insights.
5. Ownership and Accountability:
- Take full ownership of data and analytics processes, showing a hands-on approach to resolving issues as they arise.
- Communicate findings and propose solutions to stakeholders proactively, ensuring data drives product decisions effectively.
Requirements:
Technical Skills:
- Strong proficiency in SQL (Redshift experience preferred) and dashboarding tools like Metabase.
- Experience with Google Analytics and integrating App Store data.
Experience:
- 2-4 years of experience in a product analytics, data analytics, or business intelligence role, preferably in a tech or startup environment.
- Proven track record of building accurate, efficient dashboards and conducting detailed data analyses.
Soft Skills:
- Strong problem-solving abilities with a proactive and independent approach.
- High attention to detail, ensuring data accuracy and quality before sharing insights.
- Ability to communicate insights effectively and work cross-functionally with product and engineering teams.
Mindset:
- Self-starter attitude with a strong sense of ownership and accountability.
- Ability to work under pressure and meet tight deadlines while maintaining high-quality work.
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